Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits.
Задачи:
— Lead and execute monetization projects within the CRM team, taking ownership of campaigns that drive revenue growth.
— Design and optimize lifecycle journeys with a focus on acquisition, conversion, and win- strategies.
— Implement a hands-on approach to CRM operations, managing high volumes of campaigns and ensuring seamless execution.
— Develop innovative segmentation and communication strategies through continuous testing and experimentation.
— Build a robust A/B testing framework, analyzing results to propose data-driven improvements.
— Ensure campaign deliverability and technical soundness, troubleshooting issues and coordinating with engineering teams when needed.
— Collaborate closely with Growth, Design, Analytics, and other cross-functional teams to align CRM initiatives with broader business goals.
— Monitor and analyze key CRM performance metrics, preparing detailed reports and actionable insights.
— Own technical CRM setup, including campaign automation, deliverability optimization, and tool integrations.
— Serve as a proactive problem-solver, bringing forward new ideas to improve processes, enhance user experiences, and maximize monetization outcomes.
— Maintain a hands-on approach to operational tasks, balancing execution with strategic input.
Требования:
— 5+ years of CRM experience, both in developing communication strategies and in hands-on execution.
— A strong monetization mindset, with the ability to evaluate initiatives based on revenue potential.
— Proven track record in customer lifecycle management and implementing strategies that drive measurable revenue growth.
— Technical expertise in CRM systems (Braze, Customer.io experience is a plus) and the ability to ensure flawless campaign execution and troubleshooting.
— Proficiency in analytical tools, with a results-driven approach to experiment tracking and performance analysis.
— Comfortable working in cross-functional environments, particularly in collaboration with Growth teams and developers.
— Hands-on operational expertise in managing high-volume communications and setting up CRM workflows.
— A proactive problem-solver with a self-starter attitude, eager to bring innovative ideas to the table.
— Experience improving email deliverability would be a plus.
Условия:
— Remote, in-office, and hybrid work opportunities.
— The equipment you need to do your job.
— A premium SIMPLE subscription.
— 21 days annual leave, plus bank holidays (those observed where you live).
— Flexible hours. We focus on your results, not how long you spend at your desk.
— Competitive salary package commensurate with experience.
Location: EMEA; Romania; Bulgaria; Kenya; Portugal; United Kingdom; Spain; Brazil; South Africa; Argentina; Armenia
Workplace: Remote
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
👩💻 THE ROLE
Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3.
Oyster’s Data Engineering team is building the foundational AI platform layer that will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI capabilities. As a Senior Data Engineer focused on AI Platform, you’ll work at the intersection of data engineering, platform engineering, and applied AI. You’ll build the data pipelines, services, integrations, and reusable platform capabilities that power AI use cases across Oyster.
You’ll leverage Oyster’s existing AWS and Snowflake data platform to make enterprise data accessible, reliable, secure, and useful for AI, supporting capabilities such as LLMs, RAG, embeddings, vector search, AI agents, tool calling, and AI workflows.
This is not a traditional data engineering role focused primarily on analytics pipelines or reporting. You’ll help define and build the data and platform foundations that let AI systems move from experimentation to reliable production, working closely with Engineering, Product, IT, and other teams across Oyster.
Key Responsibilities
- Design and build data pipelines and platform capabilities that support AI applications, knowledge systems, and AI workflows.
- Build and maintain data and knowledge pipelines for ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge management.
- Develop secure, reusable ways for AI systems to access enterprise data and systems using APIs, MCP, tool calling, and similar patterns.
- Build reusable services, libraries, frameworks, and developer tooling that make it easier for engineering teams to build and productionize AI capabilities.
- Apply strong data engineering practices around data modeling, data quality, lineage, access, reliability, and governance to AI-related data and systems.
- Help establish patterns for AI deployment, observability, evaluation, and lifecycle management, including quality, latency, reliability, security, and cost.
- Partner with engineers and stakeholders to take AI use cases from prototype to production, ensuring the underlying data and infrastructure are scalable and maintainable.
- Ensure AI platform capabilities meet Oyster’s security, privacy, access control, and data governance requirements.
- Evaluate emerging AI and data technologies and determine where they can create meaningful value for Oyster.
Core Requirements
- 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline, with experience building and operating production systems.
- Strong Python and SQL skills.
- Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access.
- Experience with Snowflake, Databricks, or comparable modern data platforms, and tools such as dbt, Airflow, or similar.
- Hands-on experience building or supporting production systems using LLMs / generative AI.
- Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems.
- Experience building data or platform capabilities that are reusable across teams, rather than only developing one-off solutions.
- Experience taking systems from experimentation to reliable production, including considerations around scalability, observability, performance, and maintainability.
- Solid understanding of security, authentication/authorization, privacy, and data governance, particularly in the context of enterprise data.
- Strong communicator who can work across Engineering, Product, and IT to turn ambiguous AI and data problems into practical engineering solutions.
Bonus
- Experience with AWS Bedrock or other managed foundation-model platforms.
- Hands-on experience with MCP (Model Context Protocol) or similar approaches for connecting AI systems to enterprise tools and data.
- Experience with LLM evaluation, observability, monitoring, or AI quality.
- Experience with LangChain, LangGraph, or similar frameworks.
- Experience with vector databases or search technologies.
- Experience implementing AI security, governance, or responsible AI practices.
- Experience building internal developer platforms, SDKs, APIs, or reusable infrastructure for engineering teams.
- Experience working across data engineering and AI/ML platform environments.
YOU'LL ALSO NEED
- A reliable home internet connection (or be able to get one).
- Fluent English language skills.
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Location: Europe
Workplace: Remote
As a Backend Engineer on Coder's Enterprise Experience team, you'll build the features that help large organizations run Coder in production with confidence. The team owns what administrators and operators need to run Coder well. That covers how it scales, how it's upgraded, how reliably it performs, how it's observed and reported on, how activity is held accountable, and how it's secured.
You'll join a cross-functional team of backend, platform, and QA engineers who own the operator experience end to end. You'll ship features from design through production and partner with product and design to solve real operator problems.
WHAT YOU'LL DO HERE
- Build features end to end, from a design you write within the team's existing approach through production rollout.
- Write database migrations that follow the team's patterns for schema compatibility and safe upgrades.
- Build the observability, reporting, and audit features administrators rely on to see what their deployment is doing.
- Build features that keep enterprise deployments secure, following the team's security practices.
- Help investigate and resolve scalability bottlenecks under production-like load, from database access patterns to concurrency in coderd.
- Help resolve backend issues surfaced by Coder operators and administrators.
- Document the features you build so a reviewer and the next engineer do not have to decode them.
- Participate in code reviews, contribute to RFC-style design discussions, and join the on-call rotation.
WHAT WE'RE LOOKING FOR
- 2+ years of professional software engineering experience.
- Professional experience writing and shipping Go.
- Working understanding of Go's concurrency model, including goroutines, channels, and the sync package.
- Comfortable with SQL, schema changes, and writing migrations.
- Strong verbal and written communication skills, including surfacing blockers and uncertainty early.
- Solid debugging skills and the persistence to work a problem, and to escalate early when stuck.
- A self-motivated, analytical engineer who enjoys difficult technical challenges.
BONUS TACOS IF YOU HAVE
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience investigating performance under real-world load, including debugging race conditions.
- Experience with observability, audit, or security features in an enterprise product.
- Experience with major cloud providers, Kubernetes, and container orchestration.
- Experience building or operating distributed systems at a meaningful scale.
- Curiosity about the latest developer tooling.
OUR TECH STACK
- Backend: Go, Postgres, Kubernetes, gRPC
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
- General: GitHub, Slack, Discord, Notion
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: India (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Make a difference.
The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams.
A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team.
Your Impact:
Partner with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility
Deliver product and technical presentations to potential and existing customers
Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape
Drive product conversations based on need and problems with customers
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material
What would make you a good fit for this role?
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space
Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically
Ideally based in Mumbai, India.
In India, the OTE compensation range for this role is INR 7.4m - 9.8m OTE. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Описание продукта:
Один из ключевых юнитов в Big Data МТС - это платформа поиска и рекомендаций, которая использует ML и большие данные для подбора релевантных айтемов для клиентов из каталогов МТС. Поставляет рекомендации в онлайн-кинотеатр КИОН, читалку «Строки», МТС Банк, сервисы по продаже билетов, интернет-магазин и другие продукты экосистемы МТС. Задачи включают объединение рекомендательных движков в единую платформу, создание универсального поискового движка, realtime триггеров и масштабирование на все сервисы компании.
Задачи:
— Генерировать гипотезы по улучшению рекомендаций для роста бизнес-метрик клиентов
— Превращать гипотезы в работающие ML модели
— Катить модели в прод и по итогам АВ-тестов формулировать новые гипотезы по улучшению рекомендаций
— Ставить задачи data инженерам на доработки витрин, взаимодействовать с разработчиками для формирования пайплайнов поставки рекомендаций, совместно с аналитиками сетапить АВ-тесты
Требования:
— Коммерческий опыт в data science от 2-х лет
— Опыт разработки и продуктивизации ML-сервисов (от моделей до API)
— Опыт внедрения ML-пайплайна в real-time сервисы
— Опыт работы с docker, шедулерами (airflow или любой другой) и sql/nosql базами данных
Условия:
— Собственная платформа MTS Ocean для получения ИТ-ресурсов, деплой, мониторинг, observability
— Профессиональные гильдии инженеров
— Внутренняя площадка TechTalks для обмена опытом и развития навыков
— Участие во внешних IT конференциях (HighLoad++, DataFest, Mobius, Test Driven Conf, Joker, DevOps, Матемаркетинг, собственная конференция True Tech Arch)
— Курсы и вебинары в корпоративном университете и электронная библиотека
— ДМС с первого месяца работы, включая стоматологию
— Страхование от несчастных случаев с 1 месяца работы
— Материальная помощь в сложных жизненных ситуациях
— Отпуск 28 календарных дней
— Прием врачей общей практики и массаж в офисе
— Мобильная связь за счет компании и льготные тарифы для близких
— Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.
Задачи:
— участвовать в разработке архитектуры и стратегии развития DevOps-платформы с нуля;
— выбирать и внедрять оптимальные инструменты для автоматизации процессов разработки и эксплуатации;
— развивать подход Infrastructure as Code для воспроизводимого развертывания и масштабирования инфраструктуры;
— развертывать и администрировать контейнерные среды на базе Docker и Kubernetes;
— создавать и поддерживать CI/CD-пайплайны;
— управлять релизным процессом: планировать, проводить и сопровождать релизы;
— настраивать мониторинг, алертинг, сбор и анализ логов, развивать Observability;
— участвовать в реализации решений для резервного копирования, восстановления после сбоев и обеспечения высокой доступности сервисов;
— управлять инфраструктурой и поддерживать работоспособность инфраструктурных сервисов;
— своевременно обновлять сервисы, компоненты и зависимости;
— выявлять и устранять уязвимости в исходном коде и подконтрольных сервисах;
— актуализировать техническую документацию.
Требования:
— практический опыт работы в DevOps / инфраструктуре / релизном направлении;
— опыт работы с Kubernetes и Docker;
— опыт построения и сопровождения CI/CD;
— понимание подходов Infrastructure as Code;
— опыт работы с системами мониторинга и логирования;
— понимание процессов управления релизами и сопровождения инфраструктурных сервисов;
— готовность работать с большим количеством Open Source-инструментов и развивать DevOps-платформу.
Будет плюсом:
— опыт работы с Argo CD, Helm, HashiCorp Vault, JFrog Artifactory, SonarQube;
— опыт построения Observability-решений;
— опыт работы с инструментами информационной безопасности;
— опыт автоматизации инфраструктуры и процессов эксплуатации.
Условия:
— гибридный формат работы по РФ;
— белая заработная плата, оформление согласно Трудовому кодексу РФ;
— поддержку: IT-отсрочку и консультации HR/юристов;
— прозрачные процессы и открытую коммуникацию;
— работу на лучшем оборудовании без логирования времени, с фокусом на доверии и результате;
— возможность выступать на конференциях, митапах, публикация статей;
— ежеквартальное обновление корпоративных скидок;
— организация вечеринок оффлайн и онлайн, предоставление мерча, проведение конкурсов и челленджей.
Задачи:
— Обслуживание и обновление LMS: управление получением пакетов обновлений и их применение к системе LMS, загрузка контейнерных образов и их отправка во внутренний Docker регистр.
— Управление инфраструктурой: локальное развертывание и конфигурация инфраструктуры, выполнение развертывания и настройки кластеров Kubernetes, обслуживание базы данных на выделенном инстансе отдельно от кластера Kubernetes, установка и мониторинг автоматического резервного копирования БД с периодичностью каждые 24 часа.
— Хранилище и пайплайны развертывания: управление доступом к объектным хранилищам (AWS S3 или аналогичным), получение пакетов из назначенных источников и управление их загрузкой в объектное хранилище.
Требования:
— Облачные платформы и инфраструктура: AWS, GCP, Azure; экспертный опыт работы с Docker и Kubernetes (развертывание, конфигурация и оркестрация); уверенное владение подходом Infrastructure as Code (Terraform, Ansible).
— CI/CD и автоматизация: опыт проектирования и поддержки пайплайнов CI/CD (Jenkins, GitLab CI/CD).
— Программирование и скрипты: уверенное владение Python и Go (Golang); навыки написания скриптов на Bash/Shell для автоматизации.
— Мониторинг и Observability: опыт развертывания и управления инструментами мониторинга (Prometheus, Grafana, Zabbix, ELK Stack: ElasticSearch/Kibana).
— Операционные системы: глубокие знания операционных систем на базе Linux (NixOS, Ubuntu Core).
— Понимание микросервисной архитектуры и распределенных систем.
— Знание методологий Agile, стандартов ITIL и процессов управления инцидентами.
— Опыт работы с высоконагруженными средами и проведения аудита инфраструктуры.
Условия:
— Заработная плата обсуждается по результатам собеседования и зависит от навыков кандидата.
— Формат работы — офис (удалёнка не предусмотрена, специфика проекта).
— Москва, Зеленоград, Казань.
— Работа над технологически сложным продуктом на стыке Computer Vision и мобильной разработки.
— Возможности для профессионального роста и влияния на процессы.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Grafana Labs is seeking a Senior Commercial Counsel to join our dedicated, collaborative, and fast-growing legal team. This role will serve as a strategic legal partner to the business, with primary responsibility for leading high-impact, revenue-generating transactions and supporting the Grafana Labs sales organization in structuring, negotiating, and closing complex enterprise on-premises and SaaS commercial agreements.
This role will also support broader legal matters, including reviewing and negotiating vendor and marketing agreements, advising on and supporting channel programs, contributing to privacy initiatives, maintaining commercial legal form agreements, and partnering on other cross-functional matters.
The successful candidate will be a creative and analytical thinker who is highly detail-oriented and embraces a business-oriented approach. They will have the ability to think strategically and build trusted advisor relationships with internal stakeholders. The ideal candidate brings significant experience leading negotiations of complex, high-value commercial agreements with Fortune 500 and other sophisticated enterprise customers, often on customer paper and within highly regulated industries such as healthcare and financial services.
This individual is an exceptional drafter and strategic negotiator with strong business judgment, able to quickly distinguish between material legal risk and negotiable terms. They take a pragmatic, solutions-oriented approach that balances legal protection with commercial objectives, ensuring negotiations remain constructive and deals continue progressing toward closure. The candidate should have a proven track record as a trusted partner to sales, with demonstrated success managing sophisticated counterparties, navigating complex issues, and driving critical revenue-generating transactions through to timely and successful execution.
What You’ll Be Doing:
Lead strategy, negotiation, and execution of complex, high-value enterprise B2B agreements, including SaaS and on-premises licenses, data processing agreements (GDPR, CCPA), business associate agreements (HIPAA), information security agreements, professional services agreements, channel partner agreements, and other commercial and technology-related contracts.
Serve as a strategic partner to sales leadership on deal structuring, risk assessment, and negotiation strategy to accelerate revenue while protecting the business.
Partner with cross-functional teams (e.g., finance, security, support, product) to resolve complex commercial and operational issues and support new go-to-market models, pricing structures, and programs.
Develop and improve form agreements and negotiation playbooks to drive consistency and scalability.
Contribute to the development of workflows and processes that enable the legal team to scale effectively, including contract negotiation, execution, and tracking of contractual obligations.
Support global expansion efforts, including go-to-market initiatives, privacy-by-design, and security-by-design programs.
Create and deliver training to business teams on legal best practices, effective engagement with legal, and relevant legal and regulatory developments.
What Makes You a Great Fit:
JD or equivalent U.S. law degree and active bar membership in good standing in at least one U.S. jurisdiction.
8+ years of technology-related commercial legal experience (preferably in the SaaS industry).
Demonstrated experience leading complex, high-value enterprise negotiations independently, including with Fortune 500 customers and on customer paper.
Strong commercial acumen, with the ability to balance legal risk with business objectives in a fast-paced, high-growth environment.
Proven ability to partner effectively with senior stakeholders, including sales leadership and executives.
Significant experience with data protection and privacy laws (e.g., GDPR, CCPA), as well as security and compliance frameworks.
Excellent drafting, negotiation, and communication skills.
Ability to operate independently, manage a high-volume and high-impact workload, and prioritize effectively.
Bonus Points For:
Familiarity with open-source licensing.
Recognition and awards from sales teams for outstanding partnership and support.
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $
230,000
- $275
,000
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Remote - United States
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role:
AI Gateway gives developers one place to connect applications and agents to hundreds of models with one API key. It handles provider routing and fallbacks, unifies billing and observability, and lets teams manage spend and security controls across production AI workloads.
Designing this well is a systems problem. A developer should be able to choose the right model, make and verify a first request, diagnose a failed request, and configure routing, budgets, credentials, and security controls without losing sight of the application they are trying to build. The right interface might be in the dashboard, on the public model catalog, in the CLI, in an API response, or in code.
You will be the Design Engineer for AI Gateway, owning product design and frontend implementation across those surfaces. You will work with customers, a Product Manager, and engineers to understand the problem, explore solutions, build the production experience, ship it, and learn from what happens after launch.
AI Gateway is live, the model ecosystem changes every week, and the team can move from an observed problem to production quickly. This is a rare chance to use your product judgment, design craft, and code to shape a developer product and ship the experience yourself.
You will be the design owner embedded with a Product Manager and a dedicated engineering team. You will also have the Product Design team around you for critique, collaboration, and support. AI Gateway will be your main product area, with room to pursue design-led improvements across Vercel. You will report to the Design Team.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What You Will Do:
Own product design and frontend implementation for meaningful parts of the journey from discovering a model to making a first successful request and operating AI in production.
Design and build production experiences across the website, dashboard, CLI, and APIs, choosing the right medium for each problem.
Make models, providers, credentials, routing, budgets, logs, performance, privacy, and governance understandable, then create patterns that extend across new providers, modalities, and workloads.
Talk directly with customers and use product data to understand problems, define success, make tradeoffs, and improve what ships.
Own quality after launch, including visual and interaction craft, accessibility, performance, resilience, instrumentation, and edge cases.
Use coding agents to explore and implement ideas quickly, while testing, debugging, and taking responsibility for what ships.
About You:
Your work shows what you personally identified, designed, built, shipped, and learned after launch.
You build production-quality web applications with React and TypeScript and can contribute confidently in a large, existing codebase.
You bring strong visual and interaction craft and have made technical or data-rich products understandable without removing the control advanced users need.
You can move between graphical interfaces, CLI workflows, API behavior, and implementation details, treating accessibility, performance, failure recovery, and instrumentation as part of the design.
You use customer research and product data to make decisions, communicate your reasoning clearly, challenge ideas constructively, and change direction when the evidence changes.
You use coding agents in your daily work, but you can explain, test, debug, and take responsibility for the code they help produce.
There is no required path into this role. You may come from product design, frontend engineering, creative development, or a career that does not fit a standard title. We care about the quality of what you have shipped and the judgment behind it.
Bonus If You:
Have experience with developer tools, infrastructure products, model marketplaces, or observability experiences.
Have worked with AI models, providers, inference platforms, guardrails, or AI application tooling.
Have experience with APIs, command-line tools, structured product content, or agent-facing interfaces.
Have built an application or agent with Vercel’s AI SDK or AI Gateway.
See the work:
AI Gateway
AI Gateway documentation
Browse AI models
AI model leaderboards
Design Engineering at Vercel
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Mississippi
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
Location:
Mississippi, USA
For this role, we are looking for candidates based in Mississippi, with a preference being for the delta or central Mississippi regions.
About this role
The U.S. Program Associate will support implementation for large-scale cash initiatives in the U.S. As a critical member of GiveDirectly’s U.S. programs team, you will support operations, internal coordination, and team processes. You will often be the project point person for community engagement and customer service. You will be expected to support Managers and Senior Managers across multiple projects, and as a result, you must be excited to work in a fast-paced environment and be comfortable managing multiple workstreams at one time. Through this, you will have the opportunity to learn and develop new skills on a fast-growing team. Associates should be able to:
Support multiple projects and workstreams simultaneously (multi-task), especially by driving process (e.g. metric tracking, survey design)
Over time, own whole components of projects, including but not limited to customer service and/or delivering payments
Proactively identify areas for efficiency in projects and team management (e.g. streamlining customer service management)
Support community engagement and coordination, including acting as a liaison for partner organizations and community members as appropriate
Reports to:
US Program Manager
Level
: Associate
Travel Requirement:
This role will require regular travel to Rx Kids sites across Mississippi to support in-person activities related to community outreach and program launch. This travel would require a car, driver’s license, and insurance. In addition, there will be travel to New York or elsewhere in the US for team events 2-3 times per year.
What you’ll do:
This position will primarily support
Rx Kids
, a universal, unconditional cash allowance program targeted at expectant parents and infants. The program is running in over 60 communities across Michigan and Ohio, and it will now be expanding to Mississippi. This role is expected to work closely with our program partners, including Michigan State University and local community partners. Key responsibilities are described below, please note that the percentages are estimates and they vary across different stages per site:
Recipient Experience & Customer Service (55%)
Lead customer service, including directly supporting recipients via an email-based help desk and through phone support, with the potential to oversee additional customer service staff or contractors as the program scales
Coach applicants through the intake process with a focus on applicants who are experiencing significant barriers
Case manage applicant/recipient concerns, adhering to GiveDirectly’s safeguarding and protection policies
Meet periodically with recipients in person to build trust and to identify problems or areas for program or process improvements
Serve as a trusted resource for recipients, responding to their communications in a timely and professional manner
Respond to and resolve one-off recipient issues through communication, data entry, and/or escalation of more serious matters to the appropriate individuals
Lead select operational processes, including conducting verification of applications directly and overseeing other verification staff as the program scales
Support other field ops processes, including payments and follow-up surveys, and execution across various program stages
Direct Program Support (25%)
Support a range of operational and project management duties to ensure GiveDirectly’s U.S. projects are executed with excellence and in line with our values, particularly “recipients first”
Support whole-team knowledge management and process documentation, refreshing protocol and process docs regularly
Work closely with other members of the U.S. team to identify process challenges and propose solutions (e.g. increasing operational efficiency, improving recipient experience)
Become an expert in the various tech systems used to support project execution and excellence
Track and report operational and efficiency metrics
May be responsible for managing other individuals, such as verification support staff
Coordinate with internal and external stakeholders, including with tech partners, research partners, and customer service teams
Community Engagement (20%)
Cultivate and maintain relationships with implementing partners, key community members, and local service organizations
Serve as the local program representative and community liaison for Rx Kids, supporting local partners and educating community members of program policies
Build knowledge of the community we are working in, and support with identifying existing local resources or services relevant for recipients
Organize and attend events, conferences, and similar programs to sensitize communities on program benefits and requirements
Collaborate with communication team members to develop and execute on storytelling plans
Participate in program evaluation and scoping strategies to improve program operations and enhance recipient satisfaction
What you’ll bring:
Exceptional alignment with
GiveDirectly Values
and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
Fluency in English is required, proficiency in Spanish, Arabic, or Chinese is a plus
2+ years of work or volunteer experience in a role that required project management and people management/coordination
Exceptional communication, organizational, and time-management skills
Strong customer service instincts, including skilled problem solving, patience, and high emotional intelligence
Ability to manage day-to-day operations and propose & implement process improvements
Ability to quickly learn and become proficient in new technological platforms
Demonstrated ability to work in a highly independent and self-directed manner, while effectively communicating upwardly about gaps and risks
Enthusiasm for fast-paced environments, which may lack a pre-defined playbook for success and involve significant “learning by doing”
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to ensure that staff’s
total compensation
package (base compensation + bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no negotiation policy to ensure we are paying staff equitably across roles.
The base salary for this role is $81,000 USD / annually.
Why work at GiveDirectly?
At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:
A positive and supportive team with opportunities for advancement
A demonstrated commitment to helping all staff develop and grow
A competitive salary, including bonus
A robust health benefits plan (exact details will vary by country)
Unlimited PTO (that we encourage staff to take!)
Desk allowance and flexible work location
Read more about our ongoing diversity, equity, and inclusion efforts
here
and about our decision to move our central support teams to remote first
here
.
Venue:
We conduct interviews over Google Meet with camera on (unless communicated otherwise).
Accessibility:
Closed captioning is available during all Google Meet interviews, and interviewers will also post interview questions in the chat box throughout the call. If you need assistance accessing either of these features, please let your interviewer know at the start of your interview!
We’re committed to running an inclusive and accessible application process for all of our open roles. If there are questions or concerns you have about the accessibility of our hiring process, we warmly invite you to reach out to
careers@givedirectly.org
.
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Referrals
Know the right person for this role? Please consider
referring them
. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!
Location: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Our Platform and Core Engineering teams build the systems that make Kraken secure, resilient, and scalable. Their impact isn’t measured by customer-facing features, but by the strength, correctness, and leverage of the foundations they create. These teams power Kraken systems behind the scenes — enabling product teams to move fast while meeting the highest standards for reliability, compliance, and security.
Engineers design shared services, internal platforms, and critical infrastructure that support company-wide initiatives. They optimize for safety, scalability, observability, auditability, and operational excellence — often operating in regulated, security-sensitive, and risk-heavy environments where precision matters.
We’re looking for engineers with deep systems ownership and an architecture-first mindset — builders who take pride in long-lived services, thrive in complex environments, and are motivated by strengthening the backbone of the crypto ecosystem.
THE OPPORTUNITY
- Design and implement robust Rust services and foundational libraries that power Kraken’s core infrastructure, prioritizing correctness, security, and long-term maintainability.
- Write reusable, testable, and highly efficient code built for scale, observability, and operational resilience in production environments.
- Collaborate on large-scale distributed systems architecture, shaping low-latency, fault-tolerant services that support global trading and internal platforms.
- Work alongside hundreds of experienced Rust engineers, contributing to a high-bar engineering culture grounded in ownership, rigor, and craftsmanship.
WHAT YOU BRING
- 7+ years of software engineering experience
- Experience building and scaling shared systems, internal platforms, and supporting multiple product roadmaps
- Proficient in writing network services or asynchronous code in Rust
- Have a security-first mindset during system design to ensure robustness
- Demonstrate the ability to autonomously debug issues across the stack (OS, network, application)
- Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions
- Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems
- Take complete end-to-end ownership of systems and libraries
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
We're looking for a
Regional Sales Director, Growth
who will be responsible for leading a team of Commercial Account Executives. As the RSD you will be asked to drive revenue growth, retain and attract new talent, and grow your customer base within your assigned territory. You will be recognized as a sales leader throughout the company – setting the tone and pace for your specified region. We are looking for an entrepreneurial sales leader - someone who thrives in a fast-paced, ever-evolving environment. You’ll spend your time developing and executing sales strategies, mentoring your team, and strategically partnering with groups across the organization.
You will guide your team through a consultative sales approach where you will learn about your prospect’s needs and then dive into the potential fit. Your expertise will be critical in helping articulate the value of our products and building strong relationships between the prospect and the Grafana sales team. Ideally, you come from a technical background and have sold visualization, application performance management, or cloud-based tooling before. If you have worked with open-source software before, that’s even better. This is a critical hire for the company and you’ll be working closely with the rest of the GTM leadership team. We are looking for someone who wants to sign up for that challenge and build something great.
What You’ll Be Doing:
Develop and mentor your sales team
Develop a pipeline to help over-achieve revenue targets
Direct sales activities by establishing sales territories, quotas, and goals
Build and maintain an annual sales plan (goals) in support of our organizational strategy and objectives
Meet with prospects and strategize with sales representatives to help close deals
Help the team prepare for QBRs and HBRs
Develop long-term, strategic relationships with key contacts within their account base
Strategically partner with Marketing, Solution Engineers, R&D, Customer Support and other functional teams
What Makes You a Great Fit:
Minimum 3 years of leading successful sales teams
Minimum 8 years of successful direct sales experience
Experience navigating complex sales cycles that can last 2-6 months
Excellent communication (written, oral) and presentation skills (in-person, virtual)
Comfort working closely and building relationships with C-Level executives
Consistent track record in shaping strategic seven-figure deals
MEDDPICC expertise
Experience working with ROI and cost modeling to educate and assist potential buyers
Excellent organizational, prioritization, and time management skills
Unwavering dedication to integrity and professionalism
Bonus Points For:
Background in technical applications, familiarity with OSS is a big plus
Compensation & Rewards:
In the USA, the OTE (On-Target Earnings)/Base compensation range for this role is $310,000-$360,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Задачи:
— Развивать и поддерживать production Kubernetes-кластеры (40+ сервисов, 20+ разработчиков).
— Проектировать инфраструктурные решения под рост нагрузки и отказоустойчивость.
— Принимать решения по развитию инфраструктуры и платформенных сервисов.
— Развивать GitOps-подход через FluxCD: управление релизами, окружениями, политиками.
— Писать и поддерживать Terraform-модули для управления облачной инфраструктурой.
— Строить и улучшать CI/CD пайплайны в GitLab CI вместе с командами разработки.
— Обеспечивать observability: метрики (Prometheus/Grafana), логи (ELK), алерты.
— Встраивать практики DevSecOps/FinOps.
— Делать ревью инфраструктурного кода коллег.
— Отвечать за здоровье и аптайм инфраструктуры.
Требования:
— Уверенное знание Linux.
— Понимание Docker и контейнеризации.
— Опыт настройки CI/CD.
— Опыт с Kubernetes.
— Опыт с GitOps-инструментами (FluxCD, ArgoCD).
— Опыт администрирования БД.
— Будет плюсом: Разрабатывали на Go или Java.
— Будет плюсом: Умеете работать с Terraform для управления инфраструктурой.
— Будет плюсом: Опыт внедрения Vault или аналогичных систем управления секретами.
— Будет плюсом: Опыт с кластерным Clickhouse.
— Будет плюсом: Опыт с поддержкой кластера Kafka.
— Будет плюсом: Опыт работы SRE.
— Будет плюсом: Выстраивал SLO/SLA для сервисов.
— Будет плюсом: Опыт с высоконагруженными проектами.
— Будет плюсом: Активное использование ИИ технологий.
Условия:
— Удаленный или гибридный формат работы на выбор.
— Уютный дизайнерский офис в пешей доступности от м. Арбатская или м. Кропоткинская.
— Вкуснейший кофе, чай, фрукты, овощи, снэки и сладости.
— Компенсация расходов на спорт, английский язык и другие профессиональные курсы.
— Подарки на День Рождения, Свадьбу, рождение ребенка.
— Реферальная система — бонус за приведенного сотрудника.
— Возможность посещения конференций, вебинаров и других мероприятий.
— Работа без бюрократии и ненужных ритуалов.
Задачи:
— Функциональное и системное сопровождение банковского программного обеспечения
— Сопровождение и развитие инфраструктуры банковского программного обеспечения
— Обеспечение доступности автоматизированных банковских процессов
— Осуществление технической поддержки пользователей и клиентов
— Накопление и передача технической экспертизы по архитектуре ИТ системы, а также по бизнес-процессам
— Развитие программно-инфраструктурного ландшафта банка
— Реализация пилотных проектов бизнеса
Требования к кандидату:
— Управление серверами на базе Linux на уровне администратора
— Знание микросервисной архитектуры и технологий контейнеризации: Docker, containerd
— Продвинутые навыки работы с Kubernetes, Helm, Kafka
— Понимание принципов построения процессов CI/CD
— Понимание принципов IaC. Продвинутые навыки работы с Ansible, Terraform, Terragrunt
— Понимание принципов построения Observability. Продвинутые навыки работы с ELK/EFK, OpenSearch, Prometheus, VictoriaMetrics
— Опыт работы с облачными провайдерами, например, AWS, Yandex Cloud
— Знание СУБД на уровне администратора: Redis, MongoDB
— Навыки программирования, например, на Python, GO, Java, JavaScript
— Kubernetes (не managed), Postgres/Patroni, Redis, Ansible, VictoriaMetrics/Prometheus, ELK/OpenSearch
— Образование высшее, профильное техническое
— Опыт работы от 3х лет
Условия работы:
— Оформление по ТК РФ или ИП в аккредитованную ИТ компанию
— ДМС со стоматологией
— Скидки на изучение иностранных языков от Skyeng
— Скидки на фитнес от Xfit
— Скидки на кино от КАРО
— Техника для работы
УдалённоГеография найма не уточнена
370 000 – 460 000 ₽
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— Функциональное и системное сопровождение банковского программного обеспечения
— Сопровождение и развитие инфраструктуры банковского программного обеспечения
— Обеспечение доступности автоматизированных банковских процессов
— Осуществление технической поддержки пользователей и клиентов
— Накопление и передача технической экспертизы по архитектуре ИТ системы, а также по бизнес-процессам
— Развитие программно-инфраструктурного ландшафта банка
— Реализация пилотных проектов бизнеса
Требования:
— Управление серверами на базе Linux на уровне администратора
— Знание микросервисной архитектуры и технологий контейнеризации: Docker, containerd
— Продвинутые навыки работы с Kubernetes, Helm, Kafka
— Понимание принципов построения процессов CI/CD
— Понимание принципов IaC, продвинутые навыки работы с Ansible, Terraform, Terragrunt
— Понимание принципов построения Observability, продвинутые навыки работы с ELK/EFK, OpenSearch, Prometheus, VictoriaMetrics
— Опыт работы с облачными провайдерами, например, AWS, Yandex Cloud
— Знание СУБД на уровне администратора: Redis, MongoDB
— Навыки программирования на Python, Go, Java, JavaScript
— Важно: kubernetes (не managed), postgres/patroni, redis, ansible, victoria metrics/prometheus, elk/opesensearch
— Желательно: istio, mongo, minio, clickhouse, qdran, ebula, litellm
— Работа с llm моделями инференсом и т.д.
— Образование высшее, профильное техническое
— Опыт работы от 3 лет
Условия:
— Оформление по ТК РФ или ИП в аккредитованную ИТ компанию
— ДМС со стоматологией
— Скидки на изучение иностранных языков от Skyeng
— Скидки на фитнес от Xfit
— Скидки на кино от КАРО
— Техника для работы
Контакты для отклика: @ivmargarita https://t.me/ivmargarita
Location: Hyderabad, India
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC.
This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff.
You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks.
As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability.
WHAT YOU'LL ACHIEVE:
- Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance.
- Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff.
- Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates.
- Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure.
- Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions.
- Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation.
- Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns.
- Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution.
- Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions.
- Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution.
- Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly.
- Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work.
- Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel.
- Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time.
- Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements.
SKILLS YOU'LL NEED TO BRING:
- 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role.
- Strong hands-on Python development experience.
- Working experience with Node.js, JavaScript, or TypeScript.
- Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation.
- Experience working with REST APIs, JSON, authentication, webhooks, and system integrations.
- Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff.
- Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation.
- Experience with Git, code review, automated testing, release practices, and production deployment.
- Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems.
- Evidence of working on production systems, not only prototypes or proof-of-concept projects.
- Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders.
- High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation.
NICE TO HAVES:
- Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation.
- Experience with AWS, GCP, or Azure.
- Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits.
- Experience with monitoring, logging, alerting, or other observability tools.
- Experience with enterprise SaaS applications, professional services, or large-scale customer implementations.
- Experience migrating large volumes of content or structured data between enterprise platforms.
- Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows.
- Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms.
- Experience working with distributed global or APAC teams.
WHAT SUCCESS LOOKS LIKE:
In your first 90 days, you will:
- Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model.
- Establish a productive working rhythm with regional FDE partners.
- Contribute to at least one migration or integration workstream through production delivery.
- Leave behind clear technical documentation, validation evidence, and an operational runbook.
Within your first six months, you will:
- Independently own production migration or integration workstreams from technical design through rollout and handoff.
- Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering.
- Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team.
- Demonstrate effective prioritization and communication across multiple concurrent APAC engagements.
- Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement.
LOCATION:
This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Ключевой фокус роли:
• Формирование target architecture для экосистемы processing, eCommerce, P2P/APM, wallets, billing, reconciliation, antifraud и data.
• Объединение нескольких процессингов, legacy-систем и автономных технологических команд в единую архитектуру.
• Legacy modernization, monolith decomposition и развитие platform layer.
• Архитектурные стандарты для API, events, data, security, observability и integrations.
• Участие в архитектурном due diligence и интеграции новых технологических активов.
Ищем:
• Опыт Chief Architect / Head of Architecture / Enterprise или Platform Architect.
• Сильную экспертизу в Payments, PSP, Processing, Acquiring, Issuing, Banking Tech или Regulated Fintech.
• Глубокое понимание high-load и distributed systems, Event-Driven Architecture и microservices.
• Практический опыт построения архитектуры сразу на уровне нескольких систем и команд.
Прямое взаимодействие с CTO и высокий уровень влияния на технологическую стратегию компании.
Задачи:
— Эксплуатация и развитие мультиоблачной инфраструктуры (DigitalOcean, AWS, Hetzner, Kubernetes);
— Сопровождение GitOps и CI/CD (ArgoCD, Flux, Helm, GitLab CI), релизы и миграции между средами (dev/stage/preprod/prod);
— Мониторинг и observability (VictoriaMetrics, Grafana, Loki), настройка on-call алертов;
— Управление секретами, доступами и сетевой инфраструктурой (Vault, NetBird/WireGuard, Cloudflare, CoreDNS);
— Реагирование на инциденты — диагностика, пост-мортемы, перевод ручных фиксов в IaC;
— Взаимодействие с командами разработки (Go, PHP, Node.js) по CI, конфигурациям и дебагу.
Требования:
— Опыт от 3 лет в DevOps / SRE / Platform Engineering в финтехе, платёжных сервисах (PSP), крипто/блокчейн-проектах или других high-load продуктах со сложной распределённой инфраструктурой;
— Уверенный Kubernetes (деплой, ingress, HPA/PDB, RBAC, траблшутинг) и Terraform на реальных облачных ресурсах;
— Опыт построения CI/CD-пайплайнов (GitLab CI, Docker), GitOps (ArgoCD/Flux) и Helm;
— Крепкий Linux и сетевой дебаг (DNS, TLS, NAT, маршрутизация);
— Опыт со стеком мониторинга и логирования (Grafana/Prometheus/VictoriaMetrics, Loki/ELK) и управлением секретами (Vault);
— Умение читать код на Go/PHP/JS для диагностики падений сервисов;
— Английский — уверенное чтение технической документации и логов;
— Системный подход к решению проблем — умение докопаться до сути инцидента, ответственность за uptime, автономность, способность переводить ручные «костыли» в durable-решения.
Плюсом:
— опыт с AWS/DO, администрирование БД (PostgreSQL, Redis, Kafka), эксплуатация blockchain-нод.
Условия:
— Полностью удаленный формат работы;
— Базовый график 5/2 с 10:00 до 19:00 по мск;
— Присутствует on-call (реагирование на срабатывание алертов), график дежурств обсуждается индивидуально;
— Оплачиваемый отпуск — 28 дней + 10 дополнительных day-off в году;
— Заработная плата до 200 000 ₽ на старте и до 250 000 ₽ после ИС (обсуждается индивидуально);
— Испытательный срок — 3 месяца;
— Интересные проекты;
— Реальные возможности для профессионального роста внутри компании.
УдалённоmiddleГеография найма не уточнена
200 000 – 250 000 ₽
УдалённоseniorEMEA; Romania; Bulgaria; Kenya; Portugal; United Kingdom; Spain; Brazil; South Africa; Argentina; Armenia
Зарплата не указана
УдалённоEurope
Зарплата не указана
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